Dr. Alan Hubbard is Professor of Biostatistics, Head of the Division of Biostatistics at UC Berkeley, and Head of data analytics core at UC Berkeley SuperFund. His current research interests include causal inference, variable importance analysis, statistical machine learning, estimation of and inference for data-adaptive statistical target parameters, and targeted minimum loss-based estimation. Research in his group is generally motivated by applications to problems in computational biology, epidemiology, and precision medicine.